System and Method for Performing Preemptive Scaling of Micro Service Instances in Cloud Network

4. The method according to claim 3, wherein the data processing is performed once the minimum number of instances for each of the identified micro services is generated.

5. The method according to claim 4, wherein the data processing is performed upon generating the minimum number of instances for each of the identified micro services while instances for each of the identified micro services is continued to be generated until the total number of instances for each of the identified micro services is generated.

6. The method according to claim 1, further comprising generating an initial set of micro service instances based on an artificial intelligence or machine learning algorithm before the monitoring of incoming data volume.

7. The method according to claim 6, wherein the initial set of the micro service instances is added to the determined number of instances for each of the identified micro services.

8. The method according to claim 1, wherein the identifying micro services required for processing of the incoming data volume is performed using an artificial intelligence or machine learning algorithm.

9. The method according to claim 1, wherein the determining of the number of instances for each of the identified micro services is performed using an artificial intelligence or machine learning algorithm.

10. The method according to claim 2, wherein the removing of the generated instances of the identified micro services is performed gradually based on a remaining data load of the incoming data volume.

11. The method according to claim 1, wherein the cloud network includes a predetermined number of instances of the micro services residing within the cloud network.

13. The method according to claim 1, wherein different numbers of instances are generated for at least two micro services among the identified micro services.

14. The method according to claim 1, wherein a same number of instances are generated for the identified micro services.

16. The method according to claim 6, wherein the initial set of micro service instances is generated further based on a time of a day.

17. The method according to claim 1, wherein the incoming data volume fluctuates throughout a day with differing data load amount.